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| 基于组合赋权的智慧养老公众满意度评价研究 |
| Research on public satisfaction degree evaluation of wisdom pension based on combination weighting |
| 投稿时间：2023-12-29 修订日期：2023-12-29 |
| DOI： |
| 中文关键词: 粗糙集理论 分辨矩阵 层次分析法 智慧养老 |
| 英文关键词: rough set theory discernibility matrix analytic hierarchy process wisdom pension |
| 基金项目:福建省中青年教师教育科研项目(JAT190367)；福建省粒计算及其应用重点实验室、数字福建气象大数据研究所和数据科学与统计重点实验室(闽南师范大学)的资助。 |
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| 中文摘要: |
| 在人口老龄化和数字化转型的双重影响下,智慧养老成为备受关注的热点．针对已有智慧养老满意度评价的不足,本文提出一种基于粗糙集分辨矩阵确定属性权重的方法,并将该方法与层次分析法相结合,优化组合赋权应用于智慧养老公众满意度评价．实例分析表明主客观组合赋权能够突出核心属性分辨对象的能力,克服单一赋权的局限,从而提高了评价的精度和有效性． |
| 英文摘要: |
| Under the dual influence of population ageing and digital transformation, wisdom pension has become a hot topic. Aiming at the deficiency of the evaluation of the satisfaction degree of the wisdom pension, this paper proposes a method to determine the attribute weight based on the discernibility matrix of the rough set, and combines the method with the analytic hierarchy process, the optimal combination weighting is applied to the evaluation of public satisfaction of wisdom pension. The case study shows that the subjective and objective combination of weights can give prominence to the ability of distinguishing objects of core attributes, overcome the limitation of single weights, and improve the accuracy and validity of evaluation. |
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